scholarly journals Synchronization and Spin-Flop Transitions for a Mean-Field XY Model in Random Field

2016 ◽  
Vol 164 (3) ◽  
pp. 645-666 ◽  
Author(s):  
Francesca Collet ◽  
Wioletta Ruszel
Keyword(s):  
Random Field ◽  
Mean Field ◽  
Xy Model

scholarly journals EFFICIENT SEMANTIC SEGMENTATION OF MAN-MADE SCENES USING FULLY-CONNECTED CONDITIONAL RANDOM FIELD

2016 ◽  
Vol XLI-B3 ◽  
pp. 633-640
Author(s):  
Weihao Li ◽  
Michael Ying Yang
Keyword(s):  
Random Field ◽  
State Of The Art ◽  
Conditional Random Field ◽  
Contextual Information ◽  
Mean Field ◽  
Semantic Segmentation ◽  
Gaussian Kernels ◽  
Previous State ◽  
Fully Connected ◽  
Better Than

In this paper we explore semantic segmentation of man-made scenes using fully connected conditional random field (CRF). Images of man-made scenes display strong contextual dependencies in the spatial structures. Fully connected CRFs can model long-range connections within the image of man-made scenes and make use of contextual information of scene structures. The pairwise edge potentials of fully connected CRF models are defined by a linear combination of Gaussian kernels. Using filter-based mean field algorithm, the inference is very efficient. Our experimental results demonstrate that fully connected CRF performs better than previous state-of-the-art approaches on both eTRIMS dataset and LabelMeFacade dataset.

One-dimensional XY model in lorentzian random field

1984 ◽  
Vol 100 (5) ◽  
pp. 239-243 ◽  
Author(s):  
Hidetoshi Nishimori
Keyword(s):  
Random Field ◽  
Xy Model ◽  
One Dimensional
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